DiagRA X and DiagRA X Viewer Pro 2.0

Prepared for future: DiagRA® X and DiagRA® X Viewer Pro 2.0 with updated software architecture and valuable features […]

Tech Talk at Diagnostics Conference in Dresden

Tech talk from Dr. Frank Hantschel at Diagnostics Conference in Dresden 2024.

Keynote at WCX 2024 in Detroit, USA



Product training DiagRA® D, April 16, 2024

Register now: Product training für users of our diagnostic software tool DiagRA® D in Bruchsal on April 16, 2024

OBD-Symposium

OBD Symposium Europe 2024, Amsterdam

RA Consulting at OBD-EU Symposium 2024 in Amsterdam […]

Efficient measurement and calibration with the new versions of DiagRA® X and DiagRA® X Viewer Pro

The new version 1.19 of DiagRA®X and DiagRA®X Viewer Pro provides functions such as MDF markers, XCP resume mode or the flashing of ECUs without a reference page […]

Reducing Traffic Noise Emissions in Mobility

“Ambitious research projects are the basis for testing and proving innovations in practice. The expertise and intelligent minds of KIT and its partners create promising conditions for the TyRoN project. A unique consortium is dedicated to a promising idea to actively shape the future of mobility […]

Demonstrators KIsSME

Successful completion of the AI research project KIsSME

After three years of intensive collaboration, the project partners of the research project KIsSME (Artificial Intelligence for the selective real-time recording of scenario and maneuver data in the testing of highly automated vehicles) were able to celebrate its successful completion this week. At a closing event at Bosch in Renningen, the results of the joint project involving various partners from industry and research were presented […]

XmlToExcel Cover News

Product introduction XmlToExcel

We are pleased to introduce you our solution to convert XML OBD snapshot files to Excel. With XmlToExcel, the data generated by the measurement processes in DiagRA® D and Silver Scan-Tool™ and the log files of the SAE J1699-3 test procedure in XML format can be summarized in Excel files for comparison and overview purposes. […]

autonomous driving cars

New research project granted for R&D at RA

Safe perception of the environment is a crucial prerequisite for automated driving. The sensors and processing chains used must meet the highest requirements for reliability, precision and realism. There are currently no approaches for effective and efficient validation of sensors and processing chains. The RepliCar joint project closes this gap: The project goal is to build a reference system with integrated high-resolution radar, camera, lidar, GNSS and inertial sensors and to integrate it into a test vehicle.

This reference sensor system will be several years ahead of today’s series sensor system. The integration of particularly high-resolution sensors and particularly powerful sensor data fusion for object recognition enable the determination of a highly accurate representation of reality, a so-called “ground truth”. This is the basis for validating sensors for automated driving.

The consortium leader is ANavS GmbH, Munich. They also develop sensor data fusion to determine the “ground truth” for self-localization and environment perception. The Institute for High Frequency Technology and Electronics (IHE) at the Karlsruhe Institute of Technology (KIT), the Offenburg University of Applied Sciences (HSO) and Freudenberg FST GmbH based in Weinheim are developing a high-precision radar system. This is an essential element in the reference system for environmental perception and is described at intervals by the Institute for Automatic Control Systems (IRS) at KIT.

The project partners AKKA Industry Consulting GmbH, Sindelfingen, the FZI Research Center for Information Technology, Karlsruhe, the IAVF Antriebstechnik GmbH, Karlsruhe, the IPG Automotive GmbH, Karlsruhe, and the GTÜ Society for Technical Monitoring mbH, Stuttgart, define all steps from simulative validation to Release and implement the sensors and functions.

The individual innovations in the validation and testing process for series sensors include artificial intelligence methods for analyzing recorded scenarios, a “sensor in the loop” test bench, integration into existing simulation tools and a modular verification and validation process.

The other partners HighQSoft GmbH, Idstein, and RA Consulting GmbH, Bruchsal, are building a powerful data platform for managing, processing and providing the reference data. The driving demonstrator is realized by Dr. Ing. h.c. F. Porsche AG, Stuttgart. This records initial data and uses it for the release process of an exemplary perception system.

The project runs from July 1, 2023 to June 30, 2026.

BMWi_Logo_2021

 

© RA Consulting GmbH, 2024    USt.-Ident.-Nr.: DE143081464    HRB: 231127 ASAMAETAElektromobilität Süde-West
RA Consulting GmbH